






'''simple docstring'''
import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class   __SCREAMING_SNAKE_CASE   (      _A						,					unittest.TestCase					):
 snake_case_					=				RobertaTokenizer
 snake_case_					=				RobertaTokenizerFast
 snake_case_					=				True
 snake_case_					=				{"""cls_token""": """<s>"""}




 def   __magic_name__						(   self						:				Optional[Any]   )						->    List[str]:
       super().setUp()

       # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
       SCREAMING_SNAKE_CASE__  :					Any						=[
           '''l''',
           '''o''',
           '''w''',
           '''e''',
           '''r''',
           '''s''',
           '''t''',
           '''i''',
           '''d''',
           '''n''',
           '''\u0120''',
           '''\u0120l''',
           '''\u0120n''',
           '''\u0120lo''',
           '''\u0120low''',
           '''er''',
           '''\u0120lowest''',
           '''\u0120newer''',
           '''\u0120wider''',
           '''<unk>''',
       ]
       SCREAMING_SNAKE_CASE__  :					Optional[Any]						=dict(zip(UpperCamelCase__       ,   range(len(UpperCamelCase__   )   )   )   )
       SCREAMING_SNAKE_CASE__  :					Dict						=['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
       SCREAMING_SNAKE_CASE__  :					int						={'''unk_token''': '''<unk>'''}

       SCREAMING_SNAKE_CASE__  :					List[Any]						=os.path.join(self.tmpdirname       ,   VOCAB_FILES_NAMES['''vocab_file''']   )
       SCREAMING_SNAKE_CASE__  :					List[Any]						=os.path.join(self.tmpdirname       ,   VOCAB_FILES_NAMES['''merges_file''']   )
       with open(self.vocab_file       ,   '''w'''       ,   encoding='''utf-8'''   ) as fp:
             fp.write(json.dumps(UpperCamelCase__   ) + '''\n'''   )
       with open(self.merges_file       ,   '''w'''       ,   encoding='''utf-8'''   ) as fp:
             fp.write('''\n'''.join(UpperCamelCase__   )   )




 def   __magic_name__						(   self						:				Dict       ,   **__lowercase						:				List[str]   )						->    List[str]:
       kwargs.update(self.special_tokens_map   )
       return self.tokenizer_class.from_pretrained(self.tmpdirname       ,   **UpperCamelCase__   )




 def   __magic_name__						(   self						:				str       ,   **__lowercase						:				str   )						->    Union[str, Any]:
       kwargs.update(self.special_tokens_map   )
       return RobertaTokenizerFast.from_pretrained(self.tmpdirname       ,   **UpperCamelCase__   )




 def   __magic_name__						(   self						:				Optional[Any]       ,   __lowercase						:				Tuple   )						->    Dict:
       SCREAMING_SNAKE_CASE__  :					List[str]						='''lower newer'''
       SCREAMING_SNAKE_CASE__  :					Tuple						='''lower newer'''
       return input_text, output_text




 def   __magic_name__						(   self						:				Any   )						->    Optional[Any]:
       SCREAMING_SNAKE_CASE__  :					int						=self.tokenizer_class(self.vocab_file       ,   self.merges_file       ,   **self.special_tokens_map   )
       SCREAMING_SNAKE_CASE__  :					Any						='''lower newer'''
       SCREAMING_SNAKE_CASE__  :					List[Any]						=['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
       SCREAMING_SNAKE_CASE__  :					List[str]						=tokenizer.tokenize(UpperCamelCase__   )  # , add_prefix_space=True)
       self.assertListEqual(UpperCamelCase__       ,   UpperCamelCase__   )

       SCREAMING_SNAKE_CASE__  :					Dict						=tokens + [tokenizer.unk_token]
       SCREAMING_SNAKE_CASE__  :					List[Any]						=[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__   )       ,   UpperCamelCase__   )




 def   __magic_name__						(   self						:				str   )						->    Optional[int]:
       SCREAMING_SNAKE_CASE__  :					Dict						=self.get_tokenizer()

       self.assertListEqual(tokenizer.encode('''Hello world!'''       ,   add_special_tokens=UpperCamelCase__   )       ,   [0, 3_14_14, 2_32, 3_28, 2]   )
       self.assertListEqual(
           tokenizer.encode('''Hello world! cécé herlolip 418'''       ,   add_special_tokens=UpperCamelCase__   )       ,   [0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2]       ,   )




 @slow
 def   __magic_name__						(   self						:				Optional[int]   )						->    List[Any]:
       SCREAMING_SNAKE_CASE__  :					Dict						=self.tokenizer_class.from_pretrained('''roberta-base'''   )

       SCREAMING_SNAKE_CASE__  :					Union[str, Any]						=tokenizer.encode('''sequence builders'''       ,   add_special_tokens=UpperCamelCase__   )
       SCREAMING_SNAKE_CASE__  :					Optional[int]						=tokenizer.encode('''multi-sequence build'''       ,   add_special_tokens=UpperCamelCase__   )

       SCREAMING_SNAKE_CASE__  :					str						=tokenizer.encode(
           '''sequence builders'''       ,   add_special_tokens=UpperCamelCase__       ,   add_prefix_space=UpperCamelCase__   )
       SCREAMING_SNAKE_CASE__  :					List[Any]						=tokenizer.encode(
           '''sequence builders'''       ,   '''multi-sequence build'''       ,   add_special_tokens=UpperCamelCase__       ,   add_prefix_space=UpperCamelCase__   )

       SCREAMING_SNAKE_CASE__  :					Any						=tokenizer.build_inputs_with_special_tokens(UpperCamelCase__   )
       SCREAMING_SNAKE_CASE__  :					Tuple						=tokenizer.build_inputs_with_special_tokens(UpperCamelCase__       ,   UpperCamelCase__   )

       assert encoded_sentence == encoded_text_from_decode
       assert encoded_pair == encoded_pair_from_decode




 def   __magic_name__						(   self						:				Optional[Any]   )						->    int:
       SCREAMING_SNAKE_CASE__  :					List[Any]						=self.get_tokenizer()

       SCREAMING_SNAKE_CASE__  :					List[Any]						='''Encode this sequence.'''
       SCREAMING_SNAKE_CASE__  :					Any						=tokenizer.byte_encoder[''' '''.encode('''utf-8'''   )[0]]

       # Testing encoder arguments
       SCREAMING_SNAKE_CASE__  :					Union[str, Any]						=tokenizer.encode(UpperCamelCase__       ,   add_special_tokens=UpperCamelCase__       ,   add_prefix_space=UpperCamelCase__   )
       SCREAMING_SNAKE_CASE__  :					Union[str, Any]						=tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
       self.assertNotEqual(UpperCamelCase__       ,   UpperCamelCase__   )

       SCREAMING_SNAKE_CASE__  :					int						=tokenizer.encode(UpperCamelCase__       ,   add_special_tokens=UpperCamelCase__       ,   add_prefix_space=UpperCamelCase__   )
       SCREAMING_SNAKE_CASE__  :					List[str]						=tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
       self.assertEqual(UpperCamelCase__       ,   UpperCamelCase__   )

       tokenizer.add_special_tokens({'''bos_token''': '''<s>'''}   )
       SCREAMING_SNAKE_CASE__  :					Optional[int]						=tokenizer.encode(UpperCamelCase__       ,   add_special_tokens=UpperCamelCase__   )
       SCREAMING_SNAKE_CASE__  :					Tuple						=tokenizer.convert_ids_to_tokens(encoded[1]   )[0]
       self.assertNotEqual(UpperCamelCase__       ,   UpperCamelCase__   )

       # Testing spaces after special tokens
       SCREAMING_SNAKE_CASE__  :					Dict						='''<mask>'''
       tokenizer.add_special_tokens(
           {'''mask_token''': AddedToken(UpperCamelCase__       ,   lstrip=UpperCamelCase__       ,   rstrip=UpperCamelCase__   )}   )  # mask token has a left space
       SCREAMING_SNAKE_CASE__  :					List[str]						=tokenizer.convert_tokens_to_ids(UpperCamelCase__   )

       SCREAMING_SNAKE_CASE__  :					Optional[int]						='''Encode <mask> sequence'''
       SCREAMING_SNAKE_CASE__  :					Optional[int]						='''Encode <mask>sequence'''

       SCREAMING_SNAKE_CASE__  :					Tuple						=tokenizer.encode(UpperCamelCase__   )
       SCREAMING_SNAKE_CASE__  :					Optional[int]						=encoded.index(UpperCamelCase__   )
       SCREAMING_SNAKE_CASE__  :					Optional[int]						=tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
       self.assertEqual(UpperCamelCase__       ,   UpperCamelCase__   )

       SCREAMING_SNAKE_CASE__  :					List[Any]						=tokenizer.encode(UpperCamelCase__   )
       SCREAMING_SNAKE_CASE__  :					Union[str, Any]						=encoded.index(UpperCamelCase__   )
       SCREAMING_SNAKE_CASE__  :					Dict						=tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
       self.assertNotEqual(UpperCamelCase__       ,   UpperCamelCase__   )




 def   __magic_name__						(   self						:				Optional[int]   )						->    Any:
       pass




 def   __magic_name__						(   self						:				Union[str, Any]   )						->    Dict:






       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"   ):
                   SCREAMING_SNAKE_CASE__  :					int						=self.rust_tokenizer_class.from_pretrained(UpperCamelCase__       ,   **UpperCamelCase__   )
                   SCREAMING_SNAKE_CASE__  :					Any						=self.tokenizer_class.from_pretrained(UpperCamelCase__       ,   **UpperCamelCase__   )
                   SCREAMING_SNAKE_CASE__  :					Tuple						='''A, <mask> AllenNLP sentence.'''
                   SCREAMING_SNAKE_CASE__  :					Any						=tokenizer_r.encode_plus(UpperCamelCase__       ,   add_special_tokens=UpperCamelCase__       ,   return_token_type_ids=UpperCamelCase__   )
                   SCREAMING_SNAKE_CASE__  :					Dict						=tokenizer_p.encode_plus(UpperCamelCase__       ,   add_special_tokens=UpperCamelCase__       ,   return_token_type_ids=UpperCamelCase__   )

                   # token_type_ids should put 0 everywhere
                   self.assertEqual(sum(tokens_r['''token_type_ids''']   )       ,   sum(tokens_p['''token_type_ids''']   )   )

                   # attention_mask should put 1 everywhere, so sum over length should be 1
                   self.assertEqual(
                       sum(tokens_r['''attention_mask''']   ) / len(tokens_r['''attention_mask''']   )       ,   sum(tokens_p['''attention_mask''']   ) / len(tokens_p['''attention_mask''']   )       ,   )

                   SCREAMING_SNAKE_CASE__  :					Optional[Any]						=tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']   )
                   SCREAMING_SNAKE_CASE__  :					str						=tokenizer_p.convert_ids_to_tokens(tokens_p['''input_ids''']   )

                   # Rust correctly handles the space before the mask while python doesnt
                   self.assertSequenceEqual(tokens_p['''input_ids''']       ,   [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]   )
                   self.assertSequenceEqual(tokens_r['''input_ids''']       ,   [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]   )

                   self.assertSequenceEqual(
                       UpperCamelCase__       ,   ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']   )
                   self.assertSequenceEqual(
                       UpperCamelCase__       ,   ['''<s>''', '''A''', ''',''', '''<mask>''', '''ĠAllen''', '''N''', '''LP''', '''Ġsentence''', '''.''', '''</s>''']   )




 def   __magic_name__						(   self						:				Any   )						->    List[Any]:






       for trim_offsets, add_prefix_space in itertools.product([True, False]       ,   repeat=2   ):
             SCREAMING_SNAKE_CASE__  :					List[Any]						=self.rust_tokenizer_class.from_pretrained(
                 self.tmpdirname       ,   use_fast=UpperCamelCase__       ,   add_prefix_space=UpperCamelCase__       ,   trim_offsets=UpperCamelCase__   )

             SCREAMING_SNAKE_CASE__  :					Union[str, Any]						=json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()   )
             SCREAMING_SNAKE_CASE__  :					Optional[int]						=json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()   )

             self.assertEqual(pre_tokenizer_state['''add_prefix_space''']       ,   UpperCamelCase__   )

             self.assertEqual(post_processor_state['''add_prefix_space''']       ,   UpperCamelCase__   )
             self.assertEqual(post_processor_state['''trim_offsets''']       ,   UpperCamelCase__   )




 def   __magic_name__						(   self						:				List[Any]   )						->    List[Any]:






       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"   ):
                   SCREAMING_SNAKE_CASE__  :					Union[str, Any]						='''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
                   SCREAMING_SNAKE_CASE__  :					List[Any]						=F"{text_of_1_token} {text_of_1_token}"

                   SCREAMING_SNAKE_CASE__  :					Optional[int]						=self.rust_tokenizer_class.from_pretrained(
                       UpperCamelCase__       ,   use_fast=UpperCamelCase__       ,   add_prefix_space=UpperCamelCase__       ,   trim_offsets=UpperCamelCase__   )
                   SCREAMING_SNAKE_CASE__  :					Tuple						=tokenizer_r(UpperCamelCase__       ,   return_offsets_mapping=UpperCamelCase__       ,   add_special_tokens=UpperCamelCase__   )
                   self.assertEqual(encoding.offset_mapping[0]       ,   (0, len(UpperCamelCase__   ))   )
                   self.assertEqual(
                       encoding.offset_mapping[1]       ,   (len(UpperCamelCase__   ) + 1, len(UpperCamelCase__   ) + 1 + len(UpperCamelCase__   ))       ,   )

                   SCREAMING_SNAKE_CASE__  :					Tuple						=self.rust_tokenizer_class.from_pretrained(
                       UpperCamelCase__       ,   use_fast=UpperCamelCase__       ,   add_prefix_space=UpperCamelCase__       ,   trim_offsets=UpperCamelCase__   )
                   SCREAMING_SNAKE_CASE__  :					List[str]						=tokenizer_r(UpperCamelCase__       ,   return_offsets_mapping=UpperCamelCase__       ,   add_special_tokens=UpperCamelCase__   )
                   self.assertEqual(encoding.offset_mapping[0]       ,   (0, len(UpperCamelCase__   ))   )
                   self.assertEqual(
                       encoding.offset_mapping[1]       ,   (len(UpperCamelCase__   ) + 1, len(UpperCamelCase__   ) + 1 + len(UpperCamelCase__   ))       ,   )

                   SCREAMING_SNAKE_CASE__  :					Optional[Any]						=self.rust_tokenizer_class.from_pretrained(
                       UpperCamelCase__       ,   use_fast=UpperCamelCase__       ,   add_prefix_space=UpperCamelCase__       ,   trim_offsets=UpperCamelCase__   )
                   SCREAMING_SNAKE_CASE__  :					Tuple						=tokenizer_r(UpperCamelCase__       ,   return_offsets_mapping=UpperCamelCase__       ,   add_special_tokens=UpperCamelCase__   )
                   self.assertEqual(encoding.offset_mapping[0]       ,   (0, len(UpperCamelCase__   ))   )
                   self.assertEqual(
                       encoding.offset_mapping[1]       ,   (len(UpperCamelCase__   ), len(UpperCamelCase__   ) + 1 + len(UpperCamelCase__   ))       ,   )

                   SCREAMING_SNAKE_CASE__  :					Optional[Any]						=self.rust_tokenizer_class.from_pretrained(
                       UpperCamelCase__       ,   use_fast=UpperCamelCase__       ,   add_prefix_space=UpperCamelCase__       ,   trim_offsets=UpperCamelCase__   )
                   SCREAMING_SNAKE_CASE__  :					Any						=tokenizer_r(UpperCamelCase__       ,   return_offsets_mapping=UpperCamelCase__       ,   add_special_tokens=UpperCamelCase__   )
                   self.assertEqual(encoding.offset_mapping[0]       ,   (0, len(UpperCamelCase__   ))   )
                   self.assertEqual(
                       encoding.offset_mapping[1]       ,   (len(UpperCamelCase__   ), len(UpperCamelCase__   ) + 1 + len(UpperCamelCase__   ))       ,   )

                   SCREAMING_SNAKE_CASE__  :					int						=F" {text}"

                   # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
                   #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
                   # )
                   # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
                   # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
                   # self.assertEqual(
                   #     encoding.offset_mapping[1],
                   #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
                   # )

                   SCREAMING_SNAKE_CASE__  :					Any						=self.rust_tokenizer_class.from_pretrained(
                       UpperCamelCase__       ,   use_fast=UpperCamelCase__       ,   add_prefix_space=UpperCamelCase__       ,   trim_offsets=UpperCamelCase__   )
                   SCREAMING_SNAKE_CASE__  :					Any						=tokenizer_r(UpperCamelCase__       ,   return_offsets_mapping=UpperCamelCase__       ,   add_special_tokens=UpperCamelCase__   )
                   self.assertEqual(encoding.offset_mapping[0]       ,   (1, 1 + len(UpperCamelCase__   ))   )
                   self.assertEqual(
                       encoding.offset_mapping[1]       ,   (1 + len(UpperCamelCase__   ) + 1, 1 + len(UpperCamelCase__   ) + 1 + len(UpperCamelCase__   ))       ,   )

                   SCREAMING_SNAKE_CASE__  :					Tuple						=self.rust_tokenizer_class.from_pretrained(
                       UpperCamelCase__       ,   use_fast=UpperCamelCase__       ,   add_prefix_space=UpperCamelCase__       ,   trim_offsets=UpperCamelCase__   )
                   SCREAMING_SNAKE_CASE__  :					Tuple						=tokenizer_r(UpperCamelCase__       ,   return_offsets_mapping=UpperCamelCase__       ,   add_special_tokens=UpperCamelCase__   )
                   self.assertEqual(encoding.offset_mapping[0]       ,   (0, 1 + len(UpperCamelCase__   ))   )
                   self.assertEqual(
                       encoding.offset_mapping[1]       ,   (1 + len(UpperCamelCase__   ), 1 + len(UpperCamelCase__   ) + 1 + len(UpperCamelCase__   ))       ,   )

                   SCREAMING_SNAKE_CASE__  :					Optional[Any]						=self.rust_tokenizer_class.from_pretrained(
                       UpperCamelCase__       ,   use_fast=UpperCamelCase__       ,   add_prefix_space=UpperCamelCase__       ,   trim_offsets=UpperCamelCase__   )
                   SCREAMING_SNAKE_CASE__  :					Tuple						=tokenizer_r(UpperCamelCase__       ,   return_offsets_mapping=UpperCamelCase__       ,   add_special_tokens=UpperCamelCase__   )
                   self.assertEqual(encoding.offset_mapping[0]       ,   (0, 1 + len(UpperCamelCase__   ))   )
                   self.assertEqual(
                       encoding.offset_mapping[1]       ,   (1 + len(UpperCamelCase__   ), 1 + len(UpperCamelCase__   ) + 1 + len(UpperCamelCase__   ))       ,   )

import string

def a__       (			A_   ):






  '''simple docstring'''





  __magic_name__								=			""""""
  for i in sequence:
    __magic_name__								=			ord(A_   )
    if 65 <= extract <= 90:
      output += chr(155 - extract   )
    elif 97 <= extract <= 122:
      output += chr(219 - extract   )
    else:
      output += i
  return output

def a__       (			A_   ):






  '''simple docstring'''





  __magic_name__								=			string.ascii_letters
  __magic_name__								=			string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
  return "".join(
      letters_reversed[letters.index(A_   )] if c in letters else c for c in sequence   )

def a__       (			):






  '''simple docstring'''





  from timeit import timeit

  print("""Running performance benchmarks..."""   )
  __magic_name__								=			"""from string import printable ; from __main__ import atbash, atbash_slow"""
  print(f'''> atbash_slow(): {timeit('atbash_slow(printable)',	setup=A_   )} seconds'''   )
  print(f'''>      atbash(): {timeit('atbash(printable)',	setup=A_   )} seconds'''   )


if __name__ == "__main__":
    for example in ("ABCDEFGH", "123GGjj", "testStringtest", "with space"):
        print(F'''{example} encrypted in atbash: {atbash(example)}''')
    benchmark()

